In a piece published by @CentralBanking_ I argue financial regulators should regard data as not only inputs into policy but instruments for its implementation. Increasing access to data is a policy lever regulators can pull to achieve their objectives
https://t.co/18dG0Snoka
Recent advances in Gen AI have been remarkable, but my article in American Banker suggest that forecasts of Gen AI producing billions of dollars in new revenue streams for banks are overly optimistic in the near term:
https://t.co/fF3IBogihJ
Delighted to say that the new issue of @OxrepJournal on "Artificial Intelligence and Financial Services" has now been published. It was put together and edited by myself and @DavidBholat, formerly of @bankofengland:
https://t.co/GJ08rr1Chi
This is a special issue for us.. 1/n
Our new issue on Artificial Intelligence and Financial Services has just been released!
Read @danielsusskind and @DavidBholat's introduction to the issue here: https://t.co/XPtPVDJ4hg
#EconTwitter
BU: "A bank’s culture is a leading indicator of its risk. While this claim has often been made, it has been far less frequently substantiated. Our research provides evidence to support it."
https://t.co/1P6XkfI7As
📊CHART
"COVID-19 has not dampened the appetite of European banks for machine learning and data science, but may in the short term have limited their AI investment capacity."
✏️ @juliaVanderson@DavidBholat Mohammed Gharbawi @OllieThew
📝https://t.co/kAgRDrtyB8
[THREAD] SWP 912 by Joel Suss, David Bholat (both BoE), Alex Gillespie (@LSE_PBS) + Tom Reader (@LSE_PBS) finds that poor organisational culture within a bank is associated with higher risk
https://t.co/6rPATCfcy2
We asked banks how Covid had affected their use of machine learning and data science. Although these technologies will continue to have many benefits, over a third of banks reported a negative impact on model performance as a result of the pandemic. https://t.co/sgmDrt0itU
We asked banks how Covid had affected their use of machine learning (ML) and data science (DS). Half of banks expect these technologies to become more important as a result of the pandemic. Read our latest Quarterly Bulletin article to find out more: https://t.co/gMuf8RJTz5
I recently had the pleasure of presenting on a panel titled "Bank of England data for research: recently published resources for measuring financial activity and economic sentiment." The video is available here:
https://t.co/f08doBZli8
At the @ESCoEorg conference we've got a BoE special session "Bank of England data for research: recently published resources for measuring financial activity and economic sentiment" tomorrow at 4pm. Tune in if you are attending the virtual conference...
https://t.co/ADv38907Uy
Earlier this year we hosted a virtual conference on “The Impact of Machine Learning and AI on the UK Economy”. This VoxEU post summarises some of the contributions and contains links to videos of the presentations.
https://t.co/ngJ6k0fBFZ
ICYMI: "Today, in the era of Big Data and global business models, the link between finance and data is especially strong. Risks to the effective sharing of data are therefore risks to the effective functioning of the financial system as well."
https://t.co/HTBCrzf6gT
#Podcast: @DavidBholat senior manager, @bankofengland, and Chris Peacock, head of content creation at the Bank of England, join OMFIF’s Helen Gibson to discuss their report 'Enhancing #centralbankcommunications using simple and relatable information'. https://t.co/iND6wNhhHz